Experimental determination of temperature in rolling bearings

Bearings are widely used in mechanical engineering. Standard bearings are highly reliable and ensure safe operation over the lifetime of the machine. However, a small part of them fails suddenly regardless of the duration of work, which leads to downtime and costly repair. In most cases, bearings lose their working capacity due to the violations of lubrication conditions, which is manifested by rise in temperature. The dependence of the bearing temperature on the load, shaft speed, oil level, and their interactions is studied. Experimental design and statistical analysis of the experimental data is performed using StatGraphics Plus. The relative importance of the factors is determined by the analysis of variance (ANOVA). It has been established that the oil level and the shaft speed have the greatest influence on the temperature change. For these factors, the temperature regression of rolling bearings is determined, and a three-dimensional temperature field is plotted. The experimental and statistical analysis techniques can be used to study various types of bearings.

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